A Statistical Method For Adaptive Stochastic Sampling
Abstract
Stochastic sampling is a good alternative to pure oversampling in terms of image quality. A method for adaptively controlling the number of required samples to the complexity of the picture is presented. The quality of the obtained picture can be controlled by two well-understandable parameters, these parameters define an error interval sire and the probability that a pixel lies within it. The usefulness of the method is described by applying it to distributed ray-tracing.
BibTeX
@inproceedings {10.2312:eg.19861012,
booktitle = {Eurographics Conference Proceedings},
editor = {A.A.G. Requicha},
title = {{A Statistical Method For Adaptive Stochastic Sampling}},
author = {Purgathofer, Werner},
year = {1986},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
DOI = {10.2312/eg.19861012}
}
booktitle = {Eurographics Conference Proceedings},
editor = {A.A.G. Requicha},
title = {{A Statistical Method For Adaptive Stochastic Sampling}},
author = {Purgathofer, Werner},
year = {1986},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
DOI = {10.2312/eg.19861012}
}